吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1717-1723.doi: 10.13229/j.cnki.jdxbgxb201505048

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眼部特征自动检测定位方法

张超1, 卢韶芳2, 周付根1   

  1. 1.北京航空航天大学 宇航学院,北京 100191;
    2.吉林大学 通信工程学院,长春 130022
  • 收稿日期:2013-11-25 出版日期:2015-09-01 发布日期:2015-09-01
  • 通讯作者: 卢韶芳(1970-),女,副教授,博士.研究方向:生物信息处理及模式识别.E-mail:lusf@jlu.edu.cn
  • 作者简介:张超(1986-）,男,博士研究生.研究方向:图像处理,模式识别.E-mail:zhangchao.101@163.com
  • 基金资助:
    吉林省科技发展计划项目(20090509); 吉林大学基本科研业务费项目

Automatic detection localization method of eye feature

ZHANG Chao1, LU Shao-fang2, ZHOU Fu-gen1   

  1. 1.School of Astronautics, Beihang University, Beijing 100191, China;
    2.College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2013-11-25 Online:2015-09-01 Published:2015-09-01

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摘要： 为了准确地提取眼部特征,提出了一种人眼虹膜检测及眼角定位的新方法。首先用AdaBoost算法在复杂背景下识别人脸,再用方差积分投影方法提取眼睛区域。然后设计了可变形圆形模板,利用可变形圆形模板及改进的优化匹配函数来确定虹膜中心及计算虹膜半径,并在此基础上根据眼睛的结构特征,用设计的线形模板计算内外眼角相对虹膜中心的角度方向,并在该方向下用Harris角点检测算法确定眼角最佳位置。最后,利用IMM人脸库验证了本方法,实验结果表明:本方法可以很好地对面部图像中的人眼虹膜及内外眼角进行准确定位。

关键词: 信息处理技术, 人脸识别, 可变形模板, 虹膜定位, 眼角检测

Abstract: In order to extract eye feature accurately, a novel automatic detection localization method of iris and canthus is proposed. First, the face is recognized in a complicated background by using AdaBoost algorithm. Variance integral projection is used to extract eye area. Then, the deformation circular template and the improved optimization matching function are designed to locate the center of the iris and to calculate the iris radius. On this basis, according to the characteristics of the eye structure, both inner and outer canthus direction is calculated using linear template, which is relative to the center of the iris, and then Harris corner detection algorithm is used to set canthus best position along this direction. Finally, this method is validated by IMM face library, and the experimental results show that this method can locate the human iris and inner and outer canthus accurately.

Key words: information processing technology, face recognition, deformable template, iris location, canthus detection

中图分类号: 

  • TN911
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